Prof. Xiong Li
Sun Yat-sen University, China
Prof. Xiong Li
focuses on researching in System Analysis
and Simulation, Agent-based Modeling,
Complex Systems Engineering, and Logistics
Data Analytics. He has published a book
entitled “Agent-based Warfare Modeling” by
National Defense Industry Press in 2013, and
more than 100 papers in scientific journals,
of which 60 have been indexed by SCI and EI.
Besides, his PhD thesis entitled “Study on
Warfare System Modeling Based on Meta-agents
Interaction Chain” was nominated as one of
the 30 Chinese PLA most excellent doctor
theses in 2010 and the 100 national most
excellent doctor theses in 2011,
respectively. He is a reviewer of many SCI
journals, such as International Journal of
Production Research, Computational and
Mathematical Organization Theory, and
Journal of Systems Engineering and
Electronics.
Speech Title: Agent-based Modeling and
Simulation for Networked Equipment Support
Abstract:
Networked equipment support is a new support
mode that has the typical feature of complex
adaptive system with various intelligent
support entities in networked warfare space.
Based on analysis on the process of
networked equipment support, agent and
multi-agent system technology is used, and
agent-based networked equipment support
models including interaction protocol model
and behavior simulation model are designed.
Thus, agent-based networked equipment
support simulation is implemented by using
EINSTein simulation experiment platform. The
feasibility and efficiency of the proposed
approach is validated by case study.
Associate Research Fellow Qince Li
Harbin Institute of Technology, China
Qince Li got his
Ph.D. degree in Biophysics from the
University of Manchester in 2013 and
received the postdoctoral training from the
University of Alabama at Birmingham from
2014 to 2015. He is currently an associate
research fellow with the Faculty of
Computing, Harbin Institute of Technology.
His research interests include computational
modelling of biological system, virtual
physiological heart, medical image
processing and ECG signal processing. He has
authored or co-authored over 60
peer-reviewed papers in top-tier conferences
and journals, such as Medical Image
Analysis, IEEE Journal of Biomedical and
Health Informatics,Plos Computational
Biology, Biophysical Journal, etc.
Speech Title: Modeling of Virtual
Physiological Heart for the Treatment of
Cardiac Arrhythmias
Abstract: Due to the intricate nature of
biological systems, a single discipline is
insufficient to provide a comprehensive
explanation of the complex phenomena and
activities that arise. The question then
arises as to how we can leverage the
strengths of various disciplines, such as
physics, mathematics, and large-scale
scientific computing, to establish effective
physiological computational models and
theoretical systems based on animal
experiments and human data. Furthermore, how
can we employ mathematical methods to
quantitatively describe the functions of
biological systems, predict the laws
governing the occurrence and development of
diseases in biological systems, and
accelerate the translation of basic research
findings into clinical diagnosis and
treatment technologies for cardiovascular
diseases? These are the primary challenges
that must be addressed. A promising approach
to address these challenges is to develop
the virtual physiological heart, which
comprehensively employs interdisciplinary
theories and technologies such as biology,
medicine, physics, and information science,
and constructs a virtual human body with
multiple physical scales and physiological
processes. This presentation primarily
showcases the construction of a virtual
physiological heart and its applications in
exploring the mechanisms of cardiac
arrhythmias and corresponding therapeutic
approaches. Ultimately, the application
prospects and future development directions
of the virtual physiological heart are
introduced.